Machine Learning, Graphs and the Fake News Epidemic (Part 2)

In last week’s post, we discussed why designing a fully automated fake news detector is currently infeasible and introduced a semi-automated, graph-based solution which would use machine learning to work alongside human fact checkers to scalably flag and quarantine fake… Learn More →

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Machine Learning, Graphs and the Fake News Epidemic (Part 1)

Regardless of your political affiliation or demographic it’s difficult to deny the effects of the recent fake news boom. The Pew Research Center conducted a survey that found that two in three adults in U.S. believe that the upsurge of… Learn More →

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Integrating All of Biology into a Public Neo4j Database

Editor’s Note: This presentation was given by Daniel Himmelstein at GraphConnect San Francisco in October 2016. Summary Himmelstein started his PhD research with the question: How do you teach a computer biology? He found the answer in a heterogenous network… Learn More →

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Accelerating Scientific Research through Machine Learning and Graphs

Editor’s Note: This presentation was given by Jorge Soto and Antonio Molins at GraphConnect San Francisco in October 2016. Here’s a quick review of what they covered: Introduction to the role of microRNA Monitoring microRNAs Applying the method to stomach… Learn More →

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Relevant Search Leveraging Knowledge Graphs with Neo4j

“Relevance is the practice of improving search results for users by satisfying their information needs in the context of a particular user experience, while balancing how ranking impacts business’s needs.”[1] Providing relevant information to the user performing search queries or… Learn More →

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The Top 10 Can’t-Miss Speakers at GraphConnect Europe [2017 Edition]

You already know the top nine reasons you should attend GraphConnect Europe this year, but besides the fantastic networking opportunities with some of the world’s most advanced graph database developers, architects and CTOs, there’s one reason that outshines them all:… Learn More →

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The 5-Minute Interview: John Swain, Data Science Product Manager at Right Relevance

“When I initially chose Neo4j, it was a startup project. I found it extremely useful and easy to use, and immediately realized it was the way we wanted to develop,” says John Swain, Product Manager for Data Science and Data… Learn More →

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How Will Graph Technology Propel the Internet of Things? [Virtual Panel]

The Internet of Things (IoT) is undoubtedly one of the greatest growing tides in technology today. The IoT sector is set to revolutionize everything from home appliances and self-driving cars to building management and smart farming. And while consumer-oriented IoT… Learn More →

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The 5-Minute Interview: Rachel Lader, Software Engineer at Clippr

For this week’s 5-Minute Interview, I caught up with Rachel Lader, a Software Engineer at Apple. Here’s what we talked about: Editor’s Note: Rachel’s work with Clippr is not in any way affiliated with her position at Apple, Inc. as… Learn More →

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Your Perfect Mix Tape for Original Art: Artfinder + Neo4j [Community Post]

[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] They say that that good artists copy, but great artists steal, right? At Artfinder, the global… Learn More →

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The 5-Minute Interview: Mark Joslin, CTO of Maslow

For this week’s 5-Minute Interview, I sat down with Mark Joslin, the CTO at Maslow. Mark is also the organizer of the New York City Neo4j Meetup group. Q: Tell me about your Neo4j project. Mark Joslin: We actually have… Learn More →

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